TY  - BOOK
AU  - Lee-Morrison, Lila
AB  - Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called »eigenface« and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.
DO  - 10.14361/9783839448465
ID  - OAPEN ID: 1006714
ID  - OAPEN ID: http://library.oapen.org/handle/20.500.12657/23435
KW  - Visual Culture
KW  - Machine Vision
KW  - Facial Recognition Technology
KW  - Biometrics
KW  - Art
KW  - Technology
KW  - Image
KW  - Media Aesthetics
KW  - Visual Studies
KW  - Media Art
KW  - Photography
KW  - Media Studies
L1  - https://library.oapen.org/bitstream/20.500.12657/23435/1/9783839448465.pdf
L1  - https://library.oapen.org/bitstream/20.500.12657/23435/1/9783839448465.pdf
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/35154
PP  - Bielefeld
PY  - 2019
SN  - 9783837648461
TI  - Portraits of Automated Facial Recognition : On Machinic Ways of Seeing the Face
ER  - 
